Using smartphone app collected data to explore the link between mechanization and intra-household allocation of time in Zambia

Thomas Daum (), Filippo Capezzone () and Regina Birner ()
Additional contact information
Thomas Daum: University of Hohenheim
Filippo Capezzone: University of Hohenheim
Regina Birner: University of Hohenheim

Agriculture and Human Values, 2021, vol. 38, issue 2, No 5, 429 pages

Abstract: Abstract Digital tools may help to study socioeconomic aspects of agricultural development that are difficult to measure such as the effects of new policies and technologies on the intra-household allocation of time. As farm technologies target different crops and tasks, they can affect the time-use of men, women, boys, and girls differently. Development strategies that overlook such effects can have negative consequences for vulnerable household members. In this paper, the time-use patterns associated with different levels of agricultural mechanization during land preparation in smallholder farming households in Zambia were investigated. A novel data collection method was used: a pictorial smartphone application that allows real-time recording of time-use, which eliminates recall bias. Existing studies analyzing the intra-household allocation of resources often focus on adult males and females. This study paid particular attention to boys and girls as well as adults. The study addressed seasonal variations. Compositional data analysis was used to account for the co-dependence and sum constraint of time-use data. The study suggests a strong gender differentiation for land preparation activities among mechanized households; for households using manual labor, such differentiation was not found. There is some evidence that the surplus time associated with mechanization is used for off-farm and domestic work. The study cannot confirm concerns about negative second-round effects: mechanized land preparation is not associated with a higher workload for women and children during weeding and harvesting/processing. The study provides a proof-of-concept that smartphone applications can be used to collect socioeconomic data that are difficult to measure but of high relevance.

Keywords: Agricultural mechanization; Agricultural transformation; Labor division; Gender; Time-use; Africa (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s10460-020-10160-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:agrhuv:v:38:y:2021:i:2:d:10.1007_s10460-020-10160-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10460

DOI: 10.1007/s10460-020-10160-3

Access Statistics for this article

Agriculture and Human Values is currently edited by Harvey S. James Jr.

More articles in Agriculture and Human Values from Springer, The Agriculture, Food, & Human Values Society (AFHVS)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().